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            <h3 align="center">Download</h3>
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                <h4>GWAS results</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;We collected summary statistics from the largest scale GWAS study of bipolar
                    disorder so far: PGC
                    GWAS. In 2019, the Bipolar disorder Working Group of the Psychiatric Genomics Consortium (PGC)
                    reported a multi-stage bipolar disorder genome-wide association study (PGC GWAS) of up to 20,352
                    cases and 31,358 controls of European descent. In this study, 30 loci were genome-wide significant,
                    including 20 newly identified loci. We downloaded the summary statistics data from the PGC website
                    <a href='javascript:;' target='_blank'>http://www.med.unc.edu.</a>
                    <br>
                    &nbsp;&nbsp;&nbsp;&nbsp;In 2021, the Bipolar disorder Working Group of the Psychiatric Genomics
                    Consortium (PGC) reported a
                    new performed a genome-wide association study (PGC3 GWAS) of 41,917 bipolar disorder cases and
                    371,549 controls of European descent, which identified 64 associated genomic loci. In this study, of
                    the 64 genome-wide significant loci, 33 are novel discoveries (ie. loci not overlapping with any
                    locus previously reported as genome-wide significant for bipolar disorder). We downloaded the
                    summary statistics data from the PGC website
                    <a href='javascript:;' target='_blank'>http://www.med.unc.edu.</a>

                    <br>Data from CADD, Linsight and RegulomeDB were used to annotate the GWAS SNPs.

                </p>
                <h4>Differential expression genes</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;In 2018, the PsychENCODE Consortium have collected post-mortem dorsolateral
                    prefrontal cortex
                    (DLPFC) tissues from 144 subjects with bipolar disorder cases and 899 controls from European
                    ancestries. We downloaded the differential expression s summary data and detailed gene
                    expression data from PsychENCODE website http://resource.psychencode.org/. <a href='javascript:;' target='_blank'>http://resource.psychencode.org/.
                </a></p>
                <h4>eQTL data</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;We collected gene/transcript expression quantitative trait loci (eQTL) data
                    from the following
                    studies: CMC eQTL (<a href='javascript:;' target='_blank'>http://www.synapse.org/CMC</a>)[<a href='javascript:;' target='_blank'>PMID:27668389</a>] , Fetal
                    brain
                    eQTL [<a href='javascript:;' target='_blank'>PMID:30419947</a>].
                    and PsychENCODE eQTL (<a href='javascript:;' target='_blank'>http://resource.psychencode.org/</a>)
                    [<a href='javascript:;' target='_blank'>PMID:30545856</a>].All the
                    results can be
                    downloaded here.


                </p>
                <h4>Integrative analysis data</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;Previously, we used the Summary data-based Mendelian randomization (SMR) and
                    TWAS integrative method
                    to integrate the bipolar disorder GWAS and eQTL data. All the results can be downloaded here.

                <h4>PPI</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;We got the protein-protein interaction information from the study the Liu et
                    al ([<a href='javascript:;' target='_blank'>PMID:29789256</a>] ).
                    All the results can be downloaded here.
                </p>
                <h4>GWAS genes</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;We merged the genes identified by PGC2 GWAS and PGC3 GWAS. All the results
                    can be downloaded here.
                </p>
                <h4>CNV genes</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp;We got the genes affected by CNVs from the study of Green et al (PMID:
                    25560756). All the results can be downloaded here.
                </p>
                <h4>Exome sequencing genes</h4>
                <p>
                    &nbsp;&nbsp;&nbsp;&nbsp; We got the genes identified by exome sequencing from 8 studies (all the 8
                    studies can be found here). All the results can be downloaded here.
                </p>


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                    <b>Other download information can be found in the related pages in this website.</b>
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